Research Combination Method of Parameter m based on Ant Colony Clustering

With the development of data mining, a large number of new clustering algorithms, such as ant colony clustering algorithm, are emerging.The ant-based clustering parameter values in different circumstances often will has a significant impact on the performance and efficiency of the algorithm. In this paper, based on the research of ant colony clustering and Kmethod combination algorithm (KMAOC), we discuss and analyze the m value of the parameters of the ant colony. Respectively experimental values by several groups of experimental verification are provided to show the better proposal that a KMAOC ant algorithm parameters are better to configure the number of m. Keywords-Clustering; Ant colony algorithm; K-means; Clustering combination;